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Families sue OpenAI, alleging chatbot aided in Canadian school shooting

Al Jazeera

The families of victims of a school shooting in a remote Canadian Rockies town are suing artificial intelligence company OpenAI in a United States federal court, alleging that the ChatGPT maker failed to alert police to the shooter's alarming interactions with the chatbot. A lawsuit filed on Wednesday on behalf of 12-year-old Maya Gebala, who was critically injured in the February shooting, is among the first of more than two dozen cases from families in Tumbler Ridge, British Columbia, in what their lawyers say represents "an entire community stepping forward to hold OpenAI accountable". The cases represent the families of the five slain children targeted in the school shooting. Those include Zoey Benoit, Abel Mwansa Jr, Ticaria "Tiki" Lampert, Kylie Smith, all 12, and Ezekiel Schofield, 13, as well as education assistant Shannda Aviugana-Durand. Jesse Van Rootselaar, whose interactions with ChatGPT are at the centre of the lawsuits, shot her mother and stepbrother at home before killing an educational assistant and five students aged 12 to 13 at her former school on February 10, according to police.


May's PlayStation Plus lineup includes Nine Sols, EA FC 26, Wuchang

Engadget

May's PlayStation Plus lineup includes Nine Sols, EA FC 26, Wuchang May's PlayStation Plus lineup includes Nine Sols, EA FC 26, Wuchang This coming month of May, PlayStation Plus is getting three pretty great games from three distinct genres: is a 2D action-platformer, is a soccer simulator and is a soulslike RPG. All of these titles will be available to PlayStation Plus subscribers on May 5. You may remember RedCandleGames from the 2019 Chinese censorship campaign targeting the studio's title . It's a dark-fantasy story set during the Ming Dynasty, developed by Chinese studio Leenzee and published by 505 Games. The May PlayStation Plus drop includes the PlayStation Plus Icons Pack.


Sanctioned Chinese AI Firm SenseTime Releases Image Model Built for Speed

WIRED

With US restrictions limiting its access to advanced tech, SenseTime is doubling down on open source with a new model optimized to run on Chinese-made chips. SenseTime, a Chinese AI company best known for its facial recognition technology, released a new open source model on Tuesday that it claims can both generate and interpret images far faster than top models developed by US competitors. SenseNova U1 could help the company reclaim lost ground after it slipped from its place among the leading players in China's AI development race. The model's secret sauce is its ability to "read" images without translating them to text first, speeding up the process and reducing the amount of computing power required. "The model's entire reasoning process is no longer limited to text. It can reason with images as well," Dahua Lin, cofounder and chief scientist at SenseTime, said in an interview with WIRED.


Certified Minimax Unlearning with Generalization Rates and Deletion Capacity

Neural Information Processing Systems

We study the problem of (ϵ,δ)-certified machine unlearning for minimax models. Most of the existing works focus on unlearning from standard statistical learning models that have a single variable and their unlearning steps hinge on the direct Hessian-based conventional Newton update. We develop a new (ϵ,δ)-certified machine unlearning algorithm for minimax models. It proposes a minimax unlearning step consisting of a total Hessian-based complete Newton update and the Gaussian mechanism borrowed from differential privacy. To obtain the unlearning certification, our method injects calibrated Gaussian noises by carefully analyzing the "sensitivity" of the minimax unlearning step (i.e., the closeness between the minimax unlearning variables and the retraining-from-scratch variables).


Certified Minimax Unlearning with Generalization Rates and Deletion Capacity

Neural Information Processing Systems

We study the problem of (ϵ,δ)-certified machine unlearning for minimax models. Most of the existing works focus on unlearning from standard statistical learning models that have a single variable and their unlearning steps hinge on the direct Hessian-based conventional Newton update. We develop a new (ϵ,δ)-certified machine unlearning algorithm for minimax models. It proposes a minimax unlearning step consisting of a total Hessian-based complete Newton update and the Gaussian mechanism borrowed from differential privacy. To obtain the unlearning certification, our method injects calibrated Gaussian noises by carefully analyzing the "sensitivity" of the minimax unlearning step (i.e., the closeness between the minimax unlearning variables and the retraining-from-scratch variables).


Your old prompts won't work with GPT-5.5. Try these instead

PCWorld

When you purchase through links in our articles, we may earn a small commission. If you're using long and overly specific prompts with ChatGPT's latest model, you're doing it wrong. OpenAI's latest and most powerful model, GPT-5.5, has been topping benchmark charts and impressing users with its coding and reasoning abilities, not to mention the sheer quantity of facts at its fingertips. But while ChatGPT's latest model doesn't require the hand-holding that older models did, it also gets fussy with the longer, highly detailed prompts that might have worked well in the past. If you're seeing worse performance with GPT-5.5 than you had with previous models, it might be your prompt constructions.


I've Been Having the Time of My Life Sexting. But I Have a Shameful Secret About Who It's With.

Slate

How to Do It I've Been Having the Time of My Life Sexting. But I Have a Shameful Secret About Who It's With. For the last few months, I've been trying out roleplaying online. It's with an AI bot, and I've been having a lot of fun doing it, exploring kinks and gender stuff. At the same time, I find myself feeling bad about it because I know the environmental impact of AI as well as how it feels like it's making me less creative in my other (unsexy) writing.


Motorola's New Razr Folding Phones Command a Higher Price and Few Upgrades

WIRED

Say hello (Moto) to price hikes on all three of Motorola's latest Razr flip phones. Like clockwork, Motorola is back with a new set of Razr folding flip phones . The formula is the same as last year, with three phones differing in specs and price: the Razr Ultra, Razr+, and Razr. But alongside these models, Motorola is finally launching its first-ever book-style folding phone, the Razr Fold, which it first teased at CES 2026 . The company announced the new handsets at an event in Los Angeles, where it also revealed a new pair of Moto Buds 2 Plus wireless earbuds that look eerily like Apple's AirPods Pro, but in blue; these will retail for $150 and will be available on April 30.


Medieval cannonballs and WWI bomb discovered under construction site

Popular Science

The weaponry highlights a coastal Belgian city's longtime strategic location. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Breakthroughs, discoveries, and DIY tips sent six days a week. Renovations on government buildings in the coastal Belgian town of Nieuwpoort are currently on hold after surveyors discovered an impressive archaeological trove: dozens of carefully crafted stone cannonballs dating as far back as the 14th century. However, the medieval ammunition backstock wasn't the only weaponry buried roughly 70 miles west of Brussels.


Ultralightweight sonar plus AI lets tiny drones navigate like bats

Robohub

To help small aerial robots navigate in the dark and other low-visibility environments, my colleagues and I developed an ultrasound-based perception system inspired by bat echolocation. Current robots rely heavily on cameras or light detection and ranging, known as lidar, or both. But these sensors fail in visually challenging conditions, such as smoke, fog, dust, snow or complete darkness. I'm a scientific engineer who develops bio-inspired microrobots. To solve this challenge, my research team looked at nature's experts at navigating in poor visibility: bats.